Comparing randsample and binning uniform random
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I can produce randomly polled (with replacement) values from vector x with probabilities in vector p using randsample with replacement.
X = randsample(N,K,true,W)
I can equivalently do this by using rand and histcounts (specifying edges) that correspond to the values from a cumulative sum on vector p (assuming p is normalized).
edges = [0 cumsum(p)]; edges(end)=1; % for possible rounding error
Y = rand(1,nsamples);
[~,~,bin] = histcounts(Y, edges);
X = x(bin);
My question is: if one of these is better, which one is?
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